Predictive wellness management

Abstract

Socially aware guidance and differential access controls within a control zone are determined for users based on individual wellness goals and predicted wellness patterns. Users are socially grouped based on wellness goals and predicted responsiveness to achieving the wellness goals. Biometric data obtained from users from social situations and activities provide insight into individual wellness progress and achievement of individual wellness goals. Predicted wellness patterns further assist users with achieving wellness goals through socially aware guidance and differential access controls.

What is claimed is: 
     
         1 . A computer-implemented method for predicting wellness patterns comprising:
 identifying a set of users within a specified region, each user having a set of individual wellness targets;   receiving a set of biometric data for a sub-set of the users at a location within the specified region;   forecasting a wellness pattern for the sub-set of users based on the set of biometric data; and   responsive to the forecasted wellness pattern for the sub-set of users at the location, adjusting an access control for an object within the location.   
     
     
         2 . The computer-implemented method of  claim 1 , further comprising:
 determining the set of individual wellness targets for the set of users.   
     
     
         3 . The computer-implemented method of  claim 1 , further comprising:
 determining a subset of users based on the set of individual wellness targets.   
     
     
         4 . The computer-implemented method of  claim 1 , wherein the specified region is within a physical structure. 
     
     
         5 . The computer-implemented method of  claim 1 , further comprising:
 storing individual biometric data associated with the users;   wherein:   forecasting the wellness pattern is further based on the stored individual biometric data of the sub-set of users.   
     
     
         6 . The computer-implemented method of  claim 1 , further comprising:
 monitoring the set of users for physical characteristics;   determining a first physical characteristic of a first user and a second physical characteristic of a second user;   storing a set of physical characteristics associated respectively with the set of users;   receiving group biometric data for each user in the set of users; and   directing the first user to access a secure space in the specified region where the second user is located based on the first physical characteristic, the second physical characteristic, and corresponding biometric data of the first user and the second user;   wherein:   the directing step includes adjusting an access control to the secure space.   
     
     
         7 . The computer-implemented method of  claim 6 , wherein:
 forecasting the wellness pattern includes:
 determining a physical characteristic trend based on the stored physical characteristics of the set of users. 
   
     
     
         8 . The computer-implemented method of  claim 1 , further comprising:
 comparing the forecasted wellness pattern with the set of individual wellness targets.